摘要
我国保险市场具有有效数据少的特点。基于模糊优选和神经网络的保险企业经营风险预警方法,是一种有效、科学监测保险风险的方法。它的引入和运用,为我国保险企业经营风险的动态预警提供了新的途径。
There are onot many valid data because of the short history of Chinese insurance industry, so tihs paper constructs a new method for obtaining an operational risk early warning of instance enterprises by utilizing fuzzy optimum selection and the BP artificial neural network method, and provides the theoretical basis of the method. It offers a new way of dynamic early warming of operational risk of insurance enterprises in China.
出处
《现代财经（天津财经大学学报）》
CSSCI
北大核心
2006年第4期15-18,31,共5页
Modern Finance and Economics：Journal of Tianjin University of Finance and Economics
基金
国家社科基金项目(项目批准号05&ZD006)
关键词
保险企业
经营风险预警
模糊优选
神经网络
insurance enterprises
operational risk early - warning system
Fuzzy optimum selection
BP artificial neural network
